The posting, in Wayve's own words
archived Oct 26, 2026Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers.
The role
As Director of Engineering you will manage the Product Engineering group within our AI Engineering organisation. You will report to the VP of Autonomy. There are four divisions within Autonomy: Core AV Technology – Foundation model, model architecture, learning foundations. Robotics Technology – Sensing, control, vehicle adaptability technology. Product Engineering – This role – NoA, active safety, parking product development. Release – Coordinate and automate software + model releases to application teams. The role is on the critical path to the financial success of the business. You are responsible for taking AI model backbones and delivering an autonomous vehicle capability roadmap with production-level quality . This includes collecting, filtering and selecting the most relevant training data; and then training, tuning, debugging production models. The technology will be deployed to multiple OEM partners working with separate Application teams. You are expected to establish solid ML practices from the start and to attract technical leadership. You will lead multiple teams (50+ permanent employees) covering Driving, ADAS, Parking, HMI functionality. You will set the technical direction in your area and ensure that deliverables align with company objectives. You will provide leadership and guidance to each of the Engineering Managers that work within your area. You will steer the teams and coordinate with others across Wayve. You will work with leaders across the company to ensure career growth for your teams.
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This means you will:
Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised. Frame autonomous driving as a problem that can be solved by data. Define efficient data curriculums to ensure product feature and geographical coverage. Drive an eval-driven culture to reach KPI targets with high predictability and resource efficiency. Partner with the senior leadership team to maintain a culture of impact, performance, and health. Build technical capabilities across the division and develop talented engineers as Wayve grows. Build resilient and reliable systems, teams and individuals. Work closely with team members to develop career plans and growth trajectories based on each individual’s strengths and weaknesses and their own aspirations. You will be essential to Wayve’s mission, deeply enjoy what you do, take immense pride in being a part of something big, and love pushing the boundaries of what’s possible.